The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Environment Monitoring and Early Warning System of Facility Agriculture Based on Heterogeneous Wireless Networks
This paper presents a distributed heterogeneous wireless sensor network for facility agriculture environmental monitoring and early warning system based on Internet of Things technologies, namely using the ZigBee wireless sensor network technology in real-time monitoring of facility agriculture environmental parameters, such as temperature and humidity. In exceptional case, GSM SMS will notify the user to take appropriate environmental regulation measures. The system includes a ZigBee coordinator node, multiple ZigBee sensor nodes, multiple ZigBee routing nodes, a GSM SMS module, and the management software based on SQL running on the remote control center PC. The real-time collection and early warning from facility agriculture environmental parameters enhance the level of facility agricultural management, thus improving the yield of the crop.
Inappropriate format for Document type, expected simple value but got array, please use list format